基于稀疏观测的穿墙雷达成像方法研究-信号与信息处理专业论文.docx

Ab Abstract - - PAGE IV - presents the through wall radar imaging method based on weighted. The method weight to coefficients that to be solved in the objective function. Close the contribution to the target function between big coefficients and small coefficients. Thus the solution of l1 norm optimization model solution would be closer the solution of l0 norm optimization model. The simulation results verify the correctness of the proposed scheme; 4、 The actual targets are often extended targets. The echo signal has block sparse structure, if the imaging algorithms do not consider the influence of the structure of echo signal of scene imaging, would cause TCR decline, affect the imaging performance. Aiming at the problem, proposed the through wall radar imaging algorithm based on BSBL. The simulation results show the effectiveness of the proposed method. Key words: Ultra-Wideband through wall radar; Compressed sensing; The matching chipping sequence; Weighted l1 sparse Bayesian learning  norm reconstruction algorithm; Block 目录 目录 目 录 摘 要 I ABSTRACT II HYPERLINK \l _bookmark0 第一章 绪论 1 HYPERLINK \l _bookmark1 §1.1 论文研究背景和意义 1 HYPERLINK \l _bookmark2 §1.2 相关技术的发展和国内外研究现状 2 HYPERLINK \l _bookmark3 §1.2.1 稀疏观测方法 2 HYPERLINK \l _bookmark4 §1.2.2 稀疏成像算法 4 HYPERLINK \l _bookmark5 §1.3 本论文研究内容和结构安排 5 HYPERLINK \l _bookmark6 第二章 基于稀疏观测的穿墙雷达成像基本原理 6 HYPERLINK \l _bookmark7 §2.1 引言 6 HYPERLINK \l _bookmark8 §2.2 信号模型 6 HYPERLINK \l _bookmark9 §2.3 压缩感知理论 7 HYPERLINK \l _bookmark10 §2.3.1 压缩感知基本概念 7 HYPERLINK \l _bookmark11 §2.3.2 模拟信息转换器 8 HYPERLINK \l _bookmark12 §2.4 稀疏观测成像方法 12 HYPERLINK \l _bookmark13 §2.4.1 CS_BP 成像方法 12 HYPERLINK \l _bookmark14 §2.4.2 联合 CS 成像方法 13 HYPERLINK \l _bookmark15 §2.4.3 仿真结果与分析 14 HYPERLINK \l _bookmark16 §2.5 本章小结 16 HYPERLINK \l _bookmark17 第三章 稀疏观测结构中匹配切削序列的设计 17 HYPERLINK \l _bookmark18 §3.1 引言 17 HYPERLINK \l _bookmark19 §3.2 匹配切削序列的定义 17 HYPERLINK \l _bookmark20 §3.3